[{"data":1,"prerenderedAt":34},["ShallowReactive",2],{"maker-tboyd47":3},[4],{"id":5,"name":6,"line":7,"ai":8,"cat":9,"year":10,"points":11,"comments":12,"rec":13,"s":14,"top":15,"kw":16,"maker":21,"domain":22,"tier":23,"attempts":24,"strip":25,"url":26,"mix":27,"praise":32,"objection":33,"sub":17},17673999,"rootfinder","I trained a neural network to learn Arabic morphology",false,"languages",2018,183,40,"mixed",-0.05,10,[17,18,19,20],"arabic morphology","arabic root extraction","neural network","semitic languages","tboyd47","github.com","notable",0,"5035030330300030301000103101000300500000","https:\u002F\u002Fgithub.com\u002Ftb0yd\u002Frootfinder",[28,29,30,31],3,7,2,4,"Interesting, well-executed work on Arabic morphology.","Rules-based parsing may work as well or better than a neural network.",1794036759800]